Senior AI Engineer

Allstate

Confirmed live 2 days ago High trust
Remote

Quick summary

Work type
Remote
Location
IL
Salary
$100,000–$170,500 / yr
Posted
120 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $204k
This role $135k
$82k most similar roles pay here $271k

This role pays less than 95% of similar roles. Most pay $162,000–$246,150 — the shaded band above. At the midpoint, this role pays about $135k versus about $204k for comparable roles.

Based on 240 similar postings.

Employer

About Allstate

The Allstate Corporation is one of the largest publicly held personal lines insurers in the US, widely recognized for its "You're In Good Hands With Allstate®" slogan.

Allstate currently has 36 open roles on FindRole.

Listed pay typically runs $100,000–$170,500 across 36 roles with salary data.

Most-posted roles

View all roles at Allstate

At a glance

TL;DR · Senior AI Engineer

The Senior AI Engineer joins the Enterprise Intelligence Factory team to build the Semantic Ontology & Dimension Factory Platform. This role focuses on creating AI-ready analytics by integrating semantic ontologies, knowledge graphs, and agentic AI to automatically generate business-ready star schemas from heterogeneous data sources. You will design and implement agent-driven pipelines using Python, LLMs, and frameworks like Google ADK or LangChain. Key responsibilities include developing RDF/OWL ontologies, implementing SPARQL querying layers, and building microservices on Microsoft Fabric to automate semantic mapping and dimension mining. The role requires expertise in GenAI, data engineering concepts such as ETL/ELT, and cloud platforms like Microsoft Azure. You will solve complex problems regarding semantic alignment and metadata generation while establishing engineering standards for the team's core platform capabilities at the intersection of AI and modern data infrastructure.

What does a AI Engineer earn?

Median $211200 from 132 postings across 36 companies.

See salary data

What you'll do

  • Build agentic AI pipelines using frameworks like Google ADK to automate semantic mapping and dimension mining.
  • Create and evolve enterprise ontologies in RDF/OWL to enable reusable business semantics across the organization.
  • Develop LLM-powered services for schema understanding, semantic alignment, and automated metadata generation.
  • Implement SPARQL querying and reasoning layers over knowledge graphs to drive downstream data transformations.
  • Architect Python-based microservices and batch pipelines that integrate semantic reasoning with modern data engineering workflows.
  • Build and optimize dimension and fact generation pipelines on Microsoft Fabric to produce business-ready star schemas.
  • Establish engineering standards, design patterns, and reusable components for AI-driven data platforms.
  • Conduct code reviews and mentor engineers to improve technical quality and delivery velocity.

What we're looking for

  • Must have at least 6 years of professional software engineering experience.
  • Must demonstrate strong proficiency in Python and Generative AI technologies.
  • Must have hands-on experience building systems using commercial or open-source Large Language Models (LLMs).
  • Must possess a solid understanding of semantic technologies including RDF, OWL, ontologies, knowledge graphs, and SPARQL.
  • Must have experience designing or working with agentic AI frameworks such as Google ADK or LangChain.
  • Must have a strong background in data engineering concepts like ETL/ELT, star schemas, and metadata-driven pipelines.
  • Must have experience building and operating systems on cloud platforms, preferably Microsoft Azure or Microsoft Fabric.

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